The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
A Perspective on IEEE Time-Sensitive Networking for Industrial Communication and Automation Systems
Abstract
Networks are a core element of many industrial and automation systems at present. Often these networks transport time- and safety-critical messages that control physical processes. Thus, timely and guaranteed delivery is an essential property of networks for such critical systems. Over the past decade, a variety of network solutions have evolved to satisfy said properties. However, these solutions are largely incompatible with each other and many system architects are forced to deploy different solutions in parallel due to their different capabilities. IEEE 802.1 Time-Sensitive Networking (TSN) is a standardization group that enhances IEEE networking standards, most prominently Ethernet-based networks, with said properties and has the unique potential to evolve as a cross-industry mainstream networking technology. In this survey paper, we give an overview of TSN in industrial communication and automation systems and discuss specific TSN standards and projects in detail as well as their applicability to various industries.
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McKeown (2008) · doi:10.1145/1355734.1355746 · Cited by 8,513
Basic concepts and taxonomy of dependable and secure computing
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The time-triggered architecture
Kopetz, H., & Bauer, G. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2002.805821 · Cited by 859
Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research
Nasrallah, A., Thyagaturu, A. S., Alharbi, Z., Wang, C., Shao, X., Reisslein, M., & ElBakoury, H. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2869350 · Cited by 695
Scheduling Real-Time Communication in IEEE 802.1Qbv Time Sensitive Networks
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Self-citationThe Time-Triggered Ethernet (TTE) Design
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IEEE 802.1Qbv Gate Control List Synthesis Using Array Theory Encoding
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Cited by
Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions
Zhang, T., Wang, G., Xue, C., Wang, J., Nixon, M., & Han, S. (2025) · ACM Computing Surveys · doi:10.1145/3695248 · Cited by 126
Metadata
- Authors
- Lo Bello, L., & Steiner, W.
- Venue
- Proceedings of the IEEE
- Published
- 2019-06
- Volume
- 107
- Issue
- 6
- Pages
- 1094-1120
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2941092634
- Cited by
- 367
- References
- 24
- FWCI
- 21.07
- Type
- journal article
- Language
- en
- Open access
- closed
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